Microfluidic Purification and Concentration of Malignant Pleural Effusions for Improved Molecular and Cytomorphological Diagnostics

Evaluation of pleural fluids for metastatic cells is a key component of diagnostic cytopathology. However, a large background of smaller leukocytes and/or erythrocytes can make accurate diagnosis difficult and reduce specificity in identification of mutations of interest for targeted anti-cancer therapies. Here, we describe an automated microfluidic system (Centrifuge Chip) which employs microscale vortices for the size-based isolation and concentration of cancer cells and mesothelial cells from a background of blood cells. We are able to process non-diluted pleural fluids at 6 mL/min and enrich target cells significantly over the background; we achieved improved purity in all patient samples analyzed. The resulting isolated and viable cells are readily available for immunostaining, cytological analysis, and detection of gene mutations. To demonstrate the utility towards aiding companion diagnostics, we also show improved detection accuracy of KRAS gene mutations in lung cancer cells processed using the Centrifuge Chip, leading to an increase in the area under the curve (AUC) of the receiver operating characteristic from 0.90 to 0.99. The Centrifuge Chip allows for rapid concentration and processing of large volumes of bodily fluid samples for improved cytological diagnosis and purification of cells of interest for genetic testing, which will be helpful for enhancing diagnostic accuracy.

[1]  J. Mate,et al.  A Sensitive Method for Detecting EGFR Mutations in Non-small Cell Lung Cancer Samples with Few Tumor Cells , 2008, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[2]  Dino Di Carlo,et al.  Hydrodynamic stretching of single cells for large population mechanical phenotyping , 2012, Proceedings of the National Academy of Sciences.

[3]  E. Kohn,et al.  Tumor microenvironment: What can effusions teach us? , 2005, Diagnostic cytopathology.

[4]  G. Troncone,et al.  EGFR and KRAS mutations detection on lung cancer liquid-based cytology: a pilot study , 2011, Journal of Clinical Pathology.

[5]  Dino Di Carlo,et al.  High-throughput size-based rare cell enrichment using microscale vortices. , 2011, Biomicrofluidics.

[6]  Jaime Rodriguez-Canales,et al.  EGFR and KRAS mutation analysis in cytologic samples of lung adenocarcinoma enabled by laser capture microdissection , 2012, Modern Pathology.

[7]  N. Kimura,et al.  Scoring system for differential diagnosis of malignant mesothelioma and reactive mesothelial cells on cytology specimens , 2009, Diagnostic cytopathology.

[8]  E. Petricoin,et al.  Laser Capture Microdissection , 1996, Science.

[9]  S. Sahn The differential diagnosis of pleural effusions. , 1982, The Western journal of medicine.

[10]  M. Ligtenberg,et al.  EGFR and KRAS mutations in lung carcinomas in the Dutch population: increased EGFR mutation frequency in malignant pleural effusion of lung adenocarcinoma , 2012, Cellular Oncology.

[11]  Bert Vogelstein,et al.  The role of companion diagnostics in the development and use of mutation-targeted cancer therapies , 2006, Nature Biotechnology.

[12]  Dino Di Carlo,et al.  Automated cellular sample preparation using a Centrifuge-on-a-Chip. , 2011, Lab on a chip.

[13]  G. Fontanini,et al.  Mutational Analysis in Cytological Specimens of Advanced Lung Adenocarcinoma: A Sensitive Method for Molecular Diagnosis , 2007, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[14]  D. Hanahan,et al.  Hallmarks of Cancer: The Next Generation , 2011, Cell.

[15]  Yu Sun,et al.  Microfluidic approaches for cancer cell detection, characterization, and separation. , 2012, Lab on a chip.

[16]  V. Villena,et al.  Clinical implications of appearance of pleural fluid at thoracentesis. , 2004, Chest.

[17]  J. Baker,et al.  Mutation Detection by Real-Time PCR: A Simple, Robust and Highly Selective Method , 2009, PloS one.

[18]  H. Amini,et al.  Label-free cell separation and sorting in microfluidic systems , 2010, Analytical and bioanalytical chemistry.

[19]  G. Viale,et al.  Calretinin: a novel immunocytochemical marker for mesothelioma. , 1996, The American journal of surgical pathology.

[20]  L. Liotta,et al.  Laser capture microdissection. , 2006, Methods in molecular biology.

[21]  J. Rao,et al.  Nanomechanical analysis of cells from cancer patients. , 2007, Nature nanotechnology.

[22]  Jean Salamero,et al.  Microfluidic sorting and multimodal typing of cancer cells in self-assembled magnetic arrays , 2010, Proceedings of the National Academy of Sciences.

[23]  Dino Di Carlo,et al.  Microfluidic sample preparation for diagnostic cytopathology. , 2013, Lab on a chip.

[24]  Y. Mizushima,et al.  Gene analysis of K-, H-ras, p53, and retinoblastoma susceptibility genes in human lung cancer cell lines by the polymerase chain reaction/single-strand conformation polymorphism method , 2005, Journal of Cancer Research and Clinical Oncology.